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The Historic Archive of the Guatemalan National Police (hereafter the Archive) was discovered, quite by accident, in July 2005. Researchers immediately recognized both the importance and the fragility of the Archive's contents. As a result, in early 2006 the Archive team invited Patrick to evaluate the documents and help them answer a seemingly simple question: How can we learn about the contents of the Archive in a shorter period of time than is needed to systematically examine each individual document?
After inspecting the Archive, Patrick designed a multi-stage random sample of documents. In May 2006, Tamy Guberek, Daniel Guzmán, and ...
The institution’s objectives were to learn the truth about what happened during the armed conflict.
There may have been more undocumented World War II-era Korean "comfort women" than known.
This morning I got a query from a journalist asking for our data from the report we published yesterday. The journalist was hoping to create an interactive infographic to track the number of deaths in the Syrian conflict over time. Our data would not support an analysis like the one proposed, so I wrote this reply.
We can't send you these data because they would be misleading—seriously misleading—for the purpose you describe. Here's why:
What we have is a list of documented deaths, in essence, a highly non-random sample, though a very big one. We like bigger samples because we think that they must be closer to true. The mathematical justificat...
NEW STUDY DOCUMENTS HISSÈNE HABRÉ’S OVERSIGHT OF POLICE PRISONS WHERE THOUSANDS DIED
10th Anniversary of Indictment of Chad Ex-Dictator
January 29, 2010, N’Djamena, Chad and Palo Alto, CA, U.S. - On the 10th anniversary of the first indictment of Hissène Habré in Senegal, the Benetech Human Rights Data Analysis Group (HRDAG) released a new study showing that the former Chadian dictator was well informed of the hundreds of deaths that occurred in prisons operated by his political police. This information could be critical in the long delayed prosecution of Habré who has been accused of killing and systematically torturing thousands of politi...
In Louisiana, appeals for police disciplinary action are often buried in meeting minutes. HRDAG uses machine learning to extract, structure data and make it searchable..
HRDAG contributes to the project by helping to classify, filter, extract, and standardize the records so that they can be useful in the database.
How do we know how many people have been killed in Syria? The hard answer is we don't. In this talk, presented at Strata, Megan Price addresses how HRDAG uses random forests, multiple systems estimation, and various Python and R packages to estimate conflict casualties.
STRATA
February 13, 2014
Santa Clara, California
Link to 10-minute talk on youtube
Back to Talks
On the anniversary of the Universal Declaration of Human Rights, HRDAG executive director Megan Price tells us why she loves her work, and why she feels hopeful about the future.
Defending Human Rights Data And The Possibility of Justice In East Timor
By Patrick Ball and Romesh Silva
On June 5th, armed gangs broke into the offices of the Commission for Reception, Truth and Reconciliation (CAVR) in Dili, East Timor and stole their motorbikes.
Many human rights workers wondered whether the mobs would soon return to loot the irreplaceable paper records used by the CAVR to compile a definitive report on human rights abuses during the Indonesian occupation of East Timor from 1975-1999.
The release of this report was preempted by the recent violence in Dili. But in the midst of the chaos, Australian military forces stepped in to ...
With HRDAG's help, the University of Washington Center for Human Rights team has been able to analyze the scraped text and search for key words such as “jail” in order to gain insight into where immigration arrests are being made.
Algorithmic tools like PredPol were supposed to reduce bias. But HRDAG has found that racial bias is baked into the data used to train the tools.
From the article: “As we seek to advance the responsible use of data for racial injustice, we encourage individuals and organizations to support and build upon efforts already underway.” HRDAG is listed in the Data Driven Activism and Advocacy category.
In Pittsburgh, children were at risk of being separated from their disabled parents, and the algorithm used to assist with decisions looked suspicious. HRDAG joined the ACLU to learn why.
El Salvador
Guatemala
Haiti
Earlier this year, the Canadian Tamil Congress connected with HRDAG to bring its campaign to Toronto’s annual Tamil Fest, one of the largest gatherings of Canada’s Sri Lankan diaspora.
Ravichandradeva, along with a few other volunteers, spent the weekend speaking with festival-goers in Scarborough about the project and encouraging them to come forward with information about deceased or missing loved ones and friends.
“The idea is to collect thorough, scientifically rigorous numbers on the total casualties in the war and present them as a non-partisan, independent organization,” said Michelle Dukich, a data consultant with HRDAG.
Patrick Ball (2018). La importancia de la estadística. Ibero. La revista de la universidad Iberoamericana. August-September 2018. © 2018 Universidad Iberoamericana Ciudad de México. Pp. 50-51.
Patrick Ball (2018). La importancia de la estadística. Ibero. La revista de la universidad Iberoamericana. August-September 2018. © 2018 Universidad Iberoamericana Ciudad de México. Pp. 50-51.
Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. ACLU. Summer 2023.
Anjana Samant, Noam Shemtov, Kath Xu, Sophie Beiers, Marissa Gerchick, Ana Gutierrez, Aaron Horowitz, Tobi Jegede, Tarak Shah (2023). The Devil is in the Details: Interrogating Values Embedded in the Allegheny Family Screening Tool. ACLU. Summer 2023.
This blog is a part of International Justice Monitor’s technology for truth series, which focuses on the use of technology for evidence and features views from key proponents in the field.
As highlighted by other posts in this series, emerging technology is increasing the amount and type of information available, in some contexts, to criminal and other investigations. Much of what is produced by these emerging technologies (Facebook posts, tweets, YouTube videos, text messages) falls in the category we refer to as “found” data. By “found” data we mean data not generated for a specific investigation, but instead, that is generated for ...